Luksu_

Luksu_ — CS2 Stats

FI76561199121577850[U:1:1161312122]Steam profile ↗✓ No bans

423Tracked matches48%Win rate2024Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating14,895Blue band · top ~29% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,895 +295 16 Aug – 5 Nov · 14 days played
14,60015,872peak 15,87216 Aug5 Nov
15,926Peak Premier in tracked matches
39Days played since 2026-08-10

Premier CS Rating

  • 977 below peak (15,872)
  • -572 over 30 days · declining
  • +295 over 90 days
  • Next: Purple band at 15,000 — 105 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim50
Positioning72
Utility47

0–100 skill scores via Leetify.

Recent form

COLD44–50–6Last 10044%Win rateLLLLWLWWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +8.5pp headshot accuracy · +11ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 527ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 542ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 537ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim5.0
Utility4.7
Positioning7.2
Opening Duels3.7
Clutch4.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 70% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 70% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 554ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.0
Positioning7.2
Utility4.7
Mechanics3.8
Opening Duels6.3
Win Impact4.4

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time551ms−23ms
first ⅓ avg 575ms → last ⅓ avg 551ms
Headshot accuracy13.4%+0.1%
first ⅓ avg 13.3% → last ⅓ avg 13.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.42Best match rating · 9–1 · debris, 11 Aug →
29%Best headshot accuracy · 7–13 · office, 31 Oct →
383msFastest reaction time · 1–13 · dust2, 8 Oct →
13–3Biggest win · office, 28 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
6–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

officeBest map · 75% over 8anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2012–860%0.00
nukeC187–1139%0.01
mirageC135–838%0.01
infernoD103–730%0.02
anubisD92–722%-0.01
officeS86–275%0.03
trainD72–529%-0.01
cacheA53–260%0.03
vertigoC52–340%-0.00
ancient—41–325%0.01
debris—11–0100%0.42

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches
67%Win rate
1.23Avg K/D
83.2ADR
35%Headshot %

Clutches & streaks

43%1v1 clutch win
67%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno367%1.1817.0
Mirage250%1.088.5
Nuke1100%1.1416.0
Anubis10%0.6710.0
Dust21100%1.2018.0
Ancient1100%2.4012.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.7%Headshot accuracy
32.0%Accuracy (enemy spotted)
33.4%Spray accuracy
67.3%Counter-strafing
10.1°Preaim
554msReaction time
70.1%T opening success
40.1%CT opening success
0.37Enemies flashed / flash
4.8%Flash assists
9.31HE damage / grenade
10.57Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.6994% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3677 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–130.029%5 Nov →
dust24–13-0.058%5 Nov →
anubis9–13-0.0520%5 Nov →
office7–130.0829%31 Oct →
office13–110.0110%31 Oct →
office9–130.0629%28 Oct →
office13–3-0.0324%28 Oct →
office13–40.0817%28 Oct →
ancient8–13-0.0123%25 Oct →
cache5–13-0.0013%25 Oct →
cache13–30.084%25 Oct →
nuke5–130.039%23 Oct →
dust213–60.1114%23 Oct →
anubis7–13-0.034%22 Oct →
ancient15–150.0315%22 Oct →
train5–13-0.0515%13 Oct →
train13–5-0.0112%12 Oct →
anubis16–140.089%12 Oct →
nuke6–13-0.017%12 Oct →
dust213–100.047%9 Oct →
inferno13–6-0.035%9 Oct →
train9–130.0217%8 Oct →
nuke13–100.0521%8 Oct →
dust213–40.0211%8 Oct →
dust21–13-0.0717%8 Oct →
dust213–70.0515%8 Oct →
train4–13-0.0212%8 Oct →
dust213–11-0.0611%7 Oct →
nuke13–8-0.0713%7 Oct →
inferno9–13-0.0113%6 Oct →
ancient13–40.028%6 Oct →
mirage8–130.0512%6 Oct →
dust213–110.0211%6 Oct →
nuke8–80.0518%3 Oct →
inferno7–9-0.0212%1 Oct →
nuke4–9-0.0018%1 Oct →
inferno4–9-0.089%24 Sept →
vertigo13–90.0125%23 Sept →
vertigo8–13-0.0114%23 Sept →
dust28–13-0.0412%23 Sept →
vertigo2–13-0.0916%23 Sept →
anubis9–13-0.077%22 Sept →
inferno6–130.0823%19 Sept →
ancient5–130.0015%19 Sept →
dust213–60.0411%19 Sept →
nuke13–70.008%19 Sept →
anubis2–13-0.096%19 Sept →
anubis5–11-0.0319%17 Sept →
anubis10–130.007%17 Sept →
inferno6–130.0413%15 Sept →
mirage7–130.0614%15 Sept →
nuke13–90.0217%13 Sept →
nuke9–13-0.0611%13 Sept →
dust213–60.0113%13 Sept →
mirage3–130.014%12 Sept →
vertigo13–30.069%11 Sept →
nuke13–60.0111%11 Sept →
inferno13–90.0711%11 Sept →
dust27–130.0419%11 Sept →
dust213–60.0115%10 Sept →
mirage11–130.0313%8 Sept →
dust213–5-0.038%8 Sept →
office13–50.0413%8 Sept →
office13–8-0.038%4 Sept →
office13–70.052%4 Sept →
cache13–70.0513%1 Sept →
nuke8–8-0.0824%27 Aug →
cache13–50.0317%27 Aug →
dust210–130.0217%27 Aug →
dust26–13-0.0415%26 Aug →
inferno13–80.0211%25 Aug →
mirage13–100.0413%21 Aug →
dust213–10-0.0115%21 Aug →
nuke6–13-0.009%21 Aug →
anubis16–140.0711%21 Aug →
nuke10–130.0413%21 Aug →
cache6–130.0117%21 Aug →
mirage15–15-0.0310%19 Aug →
mirage13–9-0.064%19 Aug →
inferno6–130.029%17 Aug →
nuke13–11-0.0213%17 Aug →
dust213–60.039%17 Aug →
mirage13–9-0.0310%16 Aug →
mirage13–6-0.066%15 Aug →
mirage1–13-0.0512%15 Aug →
train13–40.0012%15 Aug →
inferno11–130.0713%13 Aug →
nuke13–80.0718%13 Aug →
anubis6–130.0111%12 Aug →
dust26–130.0217%12 Aug →
nuke9–130.0621%12 Aug →
mirage9–13-0.0314%12 Aug →
train12–12-0.0124%12 Aug →
train4–130.0211%12 Aug →
mirage13–30.1216%11 Aug →
nuke15–150.0714%11 Aug →
vertigo4–90.0316%11 Aug →
debris9–10.4210%11 Aug →
nuke11–13-0.0121%10 Aug →
dust22–13-0.019%10 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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